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Welcome to the QDN blog! We regularly post blogs on a wide array of topics for our developers. From AI, gaming, XR, robotics, IoT, Snapdragon tools, and even 5G. Scroll down to see our most recent posts, and review our Blog Topics in the right navigation.
Monday 6/7/21 08:41am
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Posted By Hsin-I Hsu
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Training ML Models at the Edge with Federated Learning

Centralized machine learning (ML) is the ML workflow that most of us are familiar with today, where training is allocated to powerful servers which update model parameters using large datasets. The trained model may then be deployed to edge devices over the cloud for inference at the edge, or edge devices may collect and send data to the server for inference and receive back the server’s prediction(s).

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